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Published in:
2003 | OriginalPaper | Chapter
Adaptation of Length in a Nonstationary Environment
Authors : Han Yu, Annie S. Wu, Kuo-Chi Lin, Guy Schiavone
Published in: Genetic and Evolutionary Computation — GECCO 2003
Publisher: Springer Berlin Heidelberg
Included in: Professional Book Archive
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In this paper, we examine the behavior of a variable length GA in a nonstationary problem environment. Results indicate that a variable length GA is better able to adapt to changes than a fixed length GA. Closer examination of the evolutionary dynamics reveals that a variable length GA can in fact take advantage of its variable length representation to exploit good quality building blocks after a change in the problem environment.